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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Application Layer Distributed Denial of Service (DDoS) attacks, particularly HTTP DDoS, pose significant detection challenges.
  • The flexibility in HTTP request headers, allowing for editable and optional components, facilitates the creation of forged headers that mimic legitimate client requests.
  • A lack of recent studies and publicly available datasets on current HTTP DDoS attack patterns hinders effective research and defense strategy development.

Purpose of the Study:

  • To analyze and disclose the specific patterns of forged request headers utilized in contemporary HTTP DDoS attacks.
  • To address the scarcity of recent research and up-to-date datasets concerning HTTP DDoS attack vectors.
  • To provide a foundation for improved detection and mitigation techniques against evolving application layer threats.

Main Methods:

  • Conducted analysis using physical machines to simulate real-world attack conditions.
  • Employed eight distinct, active attack scripts designed to overwhelm web servers rapidly.
  • Captured and analyzed network traffic to identify and document forged request header patterns.

Main Results:

  • Successfully identified and disclosed eight distinct forged request header patterns generated by HTTP DDoS attacks.
  • Provided a critical analysis of these patterns, detailing their characteristics and implications.
  • Demonstrated the effectiveness of the attack scripts in overwhelming web servers within a short timeframe.

Conclusions:

  • The study successfully characterized eight novel forged request header patterns in HTTP DDoS attacks.
  • The findings contribute to a better understanding of current attack methodologies, filling a critical research gap.
  • This research provides valuable insights for developing more robust detection mechanisms against sophisticated application layer threats.